Learn Recurrent Neural Networks Creating Online

Course outline

This micro-learning session is a practical hands-on guide to Recurrent Neural Networks (RNN), this includes building Building, Evaluating & Improving RNN Models using the python programming language.

Prerequisite knowledge

Python Programming Knowledge

Deep Neural Network (DNN) Fundamentals

Recurrent Neural Networks (RNN) - Intuition

Learning outcomes

Learners will be able to apply Recurrent Neural Networks (RNN) in practice and build on the logic to evaluate and improve these Models.

Software / Hardware requirements

Anaconda Distribution

Install the ‘64-bit Graphical installer’

Python

(For both Windows & macOS)

Sugggested link:

https://www.anaconda.com/products/individual

Recurrent Neural Networks (RNN) - Intuition

1.5 hours session

Deep Learning - Convolutional Neural Networks (CNN)

1.5 hours session

Deep Learning for Tensorflow

1.5 hours session

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